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Table 3 Estimatesa of heritabilities and correlations obtained in the bivariate analyses

From: Resistance to viral nervous necrosis in European sea bass (Dicentrarchus labrax L.): heritability and relationships with body weight, cortisol concentration, and antibody titer

Trait 1

Trait 2

Trait 1

Trait 2

Correlations

\({\sigma }_{a}^{2}\)

\({\sigma }_{p}^{2}\)

\({h}^{2}\)(HPD95%

\({\sigma }_{a}^{2}\)

\({\sigma }_{p}^{2}\)

\({h}^{2}\)(HPD95%

\({r}_{p}\)(HPD95%)

\({r}_{a}\)(HPD95%)

P

MORT

BW

0.26

1.13

0.228 (0.057, 0.468)

879

1953

0.451 (0.245, 0.702)

− 0.085 (− 0.215, 0.044)

− 0.388 (− 0.878, 0.198)

0.884

MORT

SHRC

0.25

1.13

0.223 (0.058, 0.455)

4.5

19.2

0.237 (0.078, 0.449)

0.020 (− 0.107, 0.148)

− 0.078 (− 0.746, 0.625)

0.578

MORT

AT

0.27

1.13

0.236 (0.063, 0.467)

336

1030

0.328 (0.158, 0.539)

− 0.022 (− 0.149, 0.099)

− 0.388 (− 0.866, 0.191)

0.886

SHRC

AT

3.6

18.6

0.196 (0.068, 0.366)

424

1079

0.394 (0.189, 0.635)

− 0.035 (− 0.136, 0.070)

0.115 (− 0.420, 0.631)

0.815

SHRC

BW

3.6

18.6

0.193 (0.066, 0.358)

1268

2148

0.592 (0.354, 0.851)

− 0.023 (− 0.134, 0.090)

0.268 (− 0.275, 0.773)

0.652

AT

BW

410

1069

0.384 (0.175, 0.631)

1290

2160

0.599 (0.361, 0.859)

0.249 (0.134, 0.366)

0.490 (0.085, 0.814)

1.000

  1. MORT post-challenge VNN mortality as a binary trait (0: alive, 1: dead), BW body weight (g) at 548 d post-hatching, SRHC square root of serum cortisol concentration (ng0.5/ml0.5), AT antibody titer (sample to positive ratio of the optical density values, OD 450 nm)
  2. aThe median of the marginal posterior density has been used as a point estimate of parameters; (co)variance components were estimated with bivariate sire-dam models when mortality was one of the analysed traits or with bivariate animal models when mortality was not considered. A probit model was used for mortality. \({\sigma }_{a}^{2}\): additive genetic variance; \({\sigma }_{p}^{2}\): phenotypic variance; \({r}_{p}\): phenotypic correlation; \({r}_{a}\): additive genetic correlation